In this paper we investigate which of the main conditions proposed in the moral responsibility literature are the ones that spell trouble for the idea that Artificial Intelligence Systems (AISs) could ever be full-fledged responsible agents. After arguing that the standard construals of the control and epistemic conditions don't impose any in-principle barrier to AISs being responsible agents, we identify the requirement that responsible agents must be aware of their own actions as the main locus of resistance to attribute that kind of agency to AISs. This is because this type of awareness is thought to involve first-person or de se representations, which, in turn, are usually assumed to involve some form of consciousness. We clarify what this widespread assumption involves and conclude that the possibility of AISs' moral responsibility hinges on what the correct theory of de se representations ultimately turns out to be.Data has become one of the most valuable assets for governments and firms. Yet, we still have a limited understanding of how data reshapes international economic relations. This paper explores various aspects of data politics through the lens of China's digital rise and the country's global engagement. I start with the theoretical premise that data differs from traditional strategic assets (e.g., land, oil, and labor), in that it is nonrival and partially excludable. These characteristics have generated externality, commitment, and valuation problems, triggering three fundamental changes in China's external economic relations. First, data's externality problem makes it necessary for states to regulate data or even to pursue data sovereignty. However, clashes over data sovereignty can ignite conflicts between China and other countries. Second, the commitment problem in data use raises global concerns about foreign government surveillance. As data is easier to transfer across borders than physical commodities, Chinese tech companies' investments abroad are vulnerable to national security investigations by foreign regulators. Chinese tech companies, therefore, confront a "deep versus broad" dilemma deep ties with the Chinese government help promote their domestic business but jeopardize their international expansion. Lastly, data's valuation problem makes traditional measures (e.g., GDP) ill-suited to measure the relative strengths of the world's economies, which may distort perceptions of China and other states.China's economic involvement in Latin America has increased dramatically in the twenty-first century, often due to China's demand for natural resources. Chinese President Xi Jinping and his government have actively courted Latin America to pave the way for economic interactions. Chinese leaders have been working to foster China's "soft power" abroad. Nonetheless, we know relatively little about how Latin Americans perceive China and how Latin Americans' experiences with Chinese firms over the past two decades have shaped their views. Have Chinese efforts at cultivating "soft power" worked? Or have the actions of Chinese mining firms damaged China's reputation? Using the Latin American Public Opinion Project (LAPOP) coupled with data on Chinese investments in Peru, I examine Peruvians' views of China and whether Peruvians think China should be a model for their country. I find that while Peruvians generally trust the Chinese government, only a small proportion prefers China as a model for Peru. The relationship between Chinese investment and public opinion is mixed. https://www.selleckchem.com/products/rmc-4630.html However, Peruvians who strongly value democracy are less likely to prefer China as a model for their country. The data also suggest that China still has an opportunity to shape public opinion in Peru, despite conflicts with Peruvian communities over mining projects.The COVID-19 pandemic has highlighted the need for diversity in the market and alternative materials for personal protective equipment (PPE). Paper has high coatability for tunable barrier performance, and an agile production process, making it a potential substitute for polyolefin-derived PPE materials. Bleached and newsprint papers were laminated with polyethylene (PE) coatings of different thicknesses, and characterised for their potential use as medical gowns for healthcare workers and COVID-19 patients. Thicker PE lamination improved coating homogeneity and water vapour resistance. 49 GSM bleached paper with 16 GSM PE coating showed high tensile and seam strength, and low water vapour transmission rate (WVTR). Phi-X174 bacteriophage testing revealed that paper laminated with 15 GSM coating hinders virus penetration. This research demonstrates that PE laminated paper is a promising material for low cost viral protective gowns.University leaders, governments, industries and donors use university rankings to assess the success or failure of higher education institutions; however, these rankings tell us nothing about how universities are challenging or amplifying oppression in response to the COVID-19 pandemic. This article first examines the implications of the incompatible aims of universities performing well based on rankings while espousing commitments to equity and anti-oppressive practices. Second, this article proposes co-operatives as a strategy for developing a more equitable and resilient post-secondary education sector. The assumption underpinning this proposal is that without structural changes to higher education, COVID-19 will amplify an already inequitable distribution of resources and lessen the ability of universities to play a responsible role in expanding public debate and increasing understanding of critical issues facing the planet. Co-operatives could be an effective way for the sector to engage with the need to radically alter how we interact with each other and the natural world, both now and beyond the pandemic.From March 3 to October 13, 2020, 27 cases with diabetes comorbidity have been recorded in the CRONOS registry (Covid-19 Related Obstetric and Neonatal Outcome Study in Germany) among 262 registered women with SARS-CoV?2 infection during their pregnancy. Of those, 21 presented with gestational diabetes, 5 with type 2 diabetes and 1 with type 1 diabetes. About half of the women were asymptomatic and were diagnosed via general screening at hospital admission. The most common symptoms were nasal congestion, cough, tiredness, malaise and changes in smell and taste. The majority of pregnant women showed a mild to moderate course, three women were admitted to the intensive care unit and none required invasive ventilation. In the type 2 diabetes group, there were two cases with late fetal death (37 and 40 weeks of gestation) and one with a malformation, an association with diabetes being most likely. Pregnant women with diabetes mellitus represent a special subgroup; 1 in 10 women in this small cohort required intensive care monitoring due to COVID-19.